The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Prediction of gender and other demographic attributes of individuals from handwriting samples offers an interesting basic, as well as applied research problem. The correlation between gender and the visual appearance of handwriting has been validated by a number of studies and the present study is based on the same idea. We exploit the textural measurements as the discriminating attribute between...
We describe here a simple, inexpensive and effective system for simultaneous evaluation of a subject's driving ability and spatial auditory and visual perception and attention. It consists of a commercial steering wheel and virtual glasses and a program for driving on a two-lane road with curvatures at about 100 km/h speed, and simultaneously reacting by pressing two buttons attached to the steering...
In a higher educational institute, enhancing the educational process and achieving a high quality of education will help decision makers in a better management of resources of the educational institutes. Jordan universities applied for national and international higher education accreditation, whose one of evaluation criteria depends on students' performance and course delivery process. Quality of...
Automatically curating knowledge that is availableonline is a pressing necessity, given the exponential increasein the volume of data published over the web. However, thesolutions presently available are yet to reach the same level ofsupport quality provided by human curators. This is mainlydue to the fact that digital database managers do not takethe expertise of the interested community into account...
Visual-based indoor localization have become a favored research area in recent years. It can be used inside a building where GPS signals are often not available. And due to its low deployment cost, visual-based indoor localization has been implemented in the complicated indoor environment. However, in order to increase the accuracy of indoor localization, the scale of image database should be as large...
As some public buildings have become large in spatial scale, people find it more and more difficult to know their actual location in these buildings. Generally in the indoor environment, to get location information is relatively more complex than that in the outdoor environment, for traditional outdoor localization methods do not perform well in indoor environment. Under this circumstances, image...
Data wrangling is the term used by data scientists for the work of re-organising data into a new structure, before work starts on reporting or analysis. We present a prototype that applies programming by example methods to data wrangling in spreadsheets. The Data Noodles system guides the user through constructing a simple example that illustrates how they would like their spreadsheet to look. A transformation...
Hundreds of millions of images are uploaded to the cloud every day. Innovative applications able to analyze and extract efficiently information from such a big database are needed nowadays more than ever. Visual Search is an application able to retrieve information of a query image comparing it against a large image database. In this paper a Visual Search pipeline implementation is presented able...
Emotion recognition systems aim at identifying emotions of human subjects from underlying data with acceptable accuracy. Audio and visual signals, being the primary modalities of human emotion perception, have attained the most attention in developing intelligent systems for natural interaction. The emotion recognition system must automatically identify the human emotional states from his or her voice...
Saliency modelling for image quality research has been an active topic in multimedia over the last five years. Saliency aspects have been added to many image quality metrics (IQMs) to improve their performance in predicting perceived quality. However, challenges to optimising the performance of saliency-based IQMs remain. To make further progress, a better understanding of human attention deployment...
Video copy detection is still an open problem as current approaches are not able to carry out the detection with enough efficacy and efficiency. These are desirable features in modern video-based applications requiring real-time processing in large scale video databases and without compromising detection performance, especially when facing non-simulated video attacks. These characteristics are also...
Today, great focus has been placed on context-aware human-machine interaction, where systems are aware not only of the surrounding environment, but also about the mental/affective state of the user. Such knowledge can allow for the interaction to become more human-like. To this end, automatic discrimination between laughter and speech has emerged as an interesting, yet challenging problem. Typically,...
The main purpose of transfer learning is to resolve the problem of different data distribution, generally, when the training samples of source domain are different from the training samples of the target domain. Prediction of salient areas in natural video suffers from the lack of large video benchmarks with human gaze fixations. Different databases only provide dozens up to one or two hundred of...
The reliable estimation of video quality has become increasingly important with the proliferation of online video services and users becoming more quality aware. A multitude of objective video quality assessment (VQA) metrics with various performance and complexity have been proposed. However, their applicability in real-world scenarios is limited by the lack of clear interpretations of how the metric...
Subjective test methodologies are morphing to enable researchers to answer questions relevant to rapidly evolving technologies in an efficient and reliable manner. This paper is an exploration of how subjective testing that employs crowdsourcing can be refined to drive stability and reliability in subjective results. We investigate how various design decisions can lead to disparate subjective responses;...
This paper proposes a blur detection algorithm that is capable of detecting and quantifying the level of spatially-varying blur by integrating directional edge spread calculation, Just Noticeable Blur (JNB) and local probability summation. The proposed method generates a blur map indicating the relative amount of perceived local blurriness. We compare the proposed method with six other state-of-the-art...
We present COVERAGE — a novel database containing copy-move forged images and their originals with similar but genuine objects. COVERAGE is designed to highlight and address tamper detection ambiguity of popular methods, caused by self-similarity within natural images. In COVERAGE, forged-original pairs are annotated with (i) the duplicated and forged region masks, and (ii) the tampering factor/similarity...
With the increased focus on visual attention (VA) in the last decade, a large number of computational visual saliency methods have been developed. These models are evaluated by using performance evaluation metrics that measure how well a predicted map matches eye-tracking data obtained from human observers. Though there are a number of existing performance evaluation metrics, there is no clear consensus...
Anthropology studies show that genetic features are inherited by children from their parents resulting in visual resemblance between them. This paper presents a novel SIFT flow based genetic Fisher vector feature (SF-GFVF) which enhances the facial genetic features for kinship verification. The proposed SF-GFVF feature is derived by applying a novel similarity enhancement method based on SIFT flow...
Saliency models provide heatmaps highlighting the probability of each pixel to attract human gaze. To define image's important regions, features maps are extracted. The rarity, surprise or contrast are computed leading to conspicuity maps, showing important regions of each feature map. The final saliency map is obtained by merging these maps. The fusion process is usually a linear combination of the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.